Opportunistically-assisted parking search: A story of free riders, selfish liars and bona fide mules. - Evangelia Kokolaki; Georgios Kollias; Maria Papadaki; Merkourios Karaliopoulos; Ioannis Stavrakakis (WONS, 2013)

Handover performance in LTE-A HetNets through inter-site distance differentiation. - Georgios Kollias; Ferran Adelantado; John S. Vardakas; Kostas Ramantas (CAMAD, 2014)

Vulnerability of opportunistic parking assistance systems to vehicular node selfishness. - Evangelia Kokolaki; Merkourios Karaliopoulos; Georgios Kollias; Maria Papadaki; Ioannis Stavrakakis (Comput. Commun., 2014)

CORE: A Clustering Optimization Algorithm for Resource Efficiency in LTE-A Networks. - Georgios Kollias; Ferran Adelantado; Kostas Ramantas; Christos V. Verikoukis (GLOBECOM, 2015)

The impact of inter-site distance and Time-to-Trigger on Handover performance in LTE-A HetNets. - Georgios Kollias; Ferran Adelantado; Christos V. Verikoukis (ICC, 2015)

A scalable randomized least squares solver for dense overdetermined systems. - Chander Iyer; Haim Avron; Georgios Kollias; Yves Ineichen; Christopher D. Carothers; Petros Drineas (ScalA@SC, 2015)

Spectral Efficient and Energy Aware Clustering in Cellular Networks. - Georgios Kollias; Ferran Adelantado; Christos V. Verikoukis (IEEE Trans. Veh. Technol., 2017)

MXNET-MPI: Embedding MPI parallelism in Parameter Server Task Model for scaling Deep Learning. - Amith R. Mamidala; Georgios Kollias; Chris Ward; Fausto Artico (CoRR, 2018)

Run Procrustes, Run! On the convergence of accelerated Procrustes Flow. - Anastasios Kyrillidis; Shashanka Ubaru; Georgios Kollias; Kristofer E. Bouchard (CoRR, 2018)

Low rank methods for multiple network alignment. - Huda Nassar; Georgios Kollias; Ananth Grama; David F. Gleich (CoRR, 2018)

Accelerating Physics-Based Simulations Using Neural Network Proxies: An Application in Oil Reservoir Modeling. - Jirí Navrátil 001; Alan King; Jesus Rios; Georgios Kollias; Ruben Rodriguez Torrado; Andrés Codas (CoRR, 2019)

Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling. - Jirí Navrátil 001; Alan King; Jesus Rios; Georgios Kollias; Ruben Rodriguez Torrado; Andrés Codas (Frontiers Big Data, 2019)

A randomized least squares solver for terabyte-sized dense overdetermined systems. - Chander Iyer; Haim Avron; Georgios Kollias; Yves Ineichen; Christopher D. Carothers; Petros Drineas (J. Comput. Sci., 2019)

Joint Consideration of Content Popularity and Size in Device-to-Device Caching Scenarios. - Georgios Kollias; Angelos Antonopoulos 001 (ICC, 2020)

Projection techniques to update the truncated SVD of evolving matrices. - Vassilis Kalantzis; Georgios Kollias; Shashanka Ubaru; Athanasios N. Nikolakopoulos; Lior Horesh; Kenneth L. Clarkson (CoRR, 2020)

PARAD: A Work-Efficient Parallel Algorithm for Reverse-Mode Automatic Differentiation. - Tim Kaler; Tao B. Schardl; Brian Xie; Charles E. Leiserson; Jie Chen 007; Aldo Pareja; Georgios Kollias (APOCS, 2021)

Projection techniques to update the truncated SVD of evolving matrices with applications. - Vasileios Kalantzis; Georgios Kollias; Shashanka Ubaru; Athanasios N. Nikolakopoulos; Lior Horesh; Kenneth L. Clarkson (ICML, 2021)

Cardinality-Regularized Hawkes-Granger Model. - Tsuyoshi Idé; Georgios Kollias; Dzung T. Phan; Naoki Abe (NeurIPS, 2021)

Scalable Algorithms for Multiple Network Alignment. - Huda Nassar; Georgios Kollias; Ananth Grama; David F. Gleich (SIAM J. Sci. Comput., 2021)

Directed Graph Auto-Encoders. - Georgios Kollias; Vasileios Kalantzis; Tsuyoshi Idé; Aurélie C. Lozano; Naoki Abe (AAAI, 2022)

Sketch to Skip and Select: Communication Efficient Federated Learning Using Locality Sensitive Hashing. - Georgios Kollias; Theodoros Salonidis; Shiqiang Wang 001 (FL@IJCAI, 2022)

Accelerating Matrix Trace Estimation by Aitken's Δ2 Process. - Vassilis Kalantzis; Georgios Kollias; Shashanka Ubaru; Theodoros Salonidis (ICASSP, 2023)

Quantum Graph Transformers. - Georgios Kollias; Vassilis Kalantzis; Theodoros Salonidis; Shashanka Ubaru (ICASSP, 2023)

Direction Aware Positional and Structural Encoding for Directed Graph Neural Networks. - Yonas Sium; Georgios Kollias; Tsuyoshi Idé; Payel Das; Naoki Abe; Aurélie C. Lozano; Qi Li 012 (ICASSP, 2023)

NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models. - Amit Dhurandhar; Tejaswini Pedapati; Ronny Luss; Soham Dan; Aurélie C. Lozano; Payel Das; Georgios Kollias (ACL (Findings), 2024)

Asynchronous Randomized Trace Estimation. - Vasileios Kalantzis; Shashanka Ubaru; Chai Wah Wu; Georgios Kollias; Lior Horesh (AISTATS, 2024)

Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. - Dongxia Wu; Tsuyoshi Idé; Georgios Kollias; Jirí Navrátil 001; Aurélie C. Lozano; Naoki Abe; Yi-An Ma; Rose Yu (AISTATS, 2024)

Larimar: Large Language Models with Episodic Memory Control. - Payel Das; Subhajit Chaudhury; Elliot Nelson; Igor Melnyk; Sarathkrishna Swaminathan; Sihui Dai; Aurélie C. Lozano; Georgios Kollias; Vijil Chenthamarakshan; Jirí Navrátil 001; Soham Dan; Pin-Yu Chen (ICML, 2024)

Counting Triangles of Graphs via Matrix Partitioning. - Georgios Kollias; Vassilis Kalantzis; Lior Horesh; Shashanka Ubaru; Panagiotis A. Traganitis (MLSP, 2024)

Single-pass top-N subgraph centrality of graphs via subspace projections. - Vassilis Kalantzis; Georgios Kollias; Shashanka Ubaru; Naoki Abe; Lior Horesh (J. Complex Networks, 2024)

Larimar: Large Language Models with Episodic Memory Control. - Payel Das; Subhajit Chaudhury; Elliot Nelson; Igor Melnyk; Sarath Swaminathan; Sihui Dai; Aurélie C. Lozano; Georgios Kollias; Vijil Chenthamarakshan; Jirí Navrátil 001; Soham Dan; Pin-Yu Chen (CoRR, 2024)

Needle in the Haystack for Memory Based Large Language Models. - Elliot Nelson; Georgios Kollias; Payel Das; Subhajit Chaudhury; Soham Dan (CoRR, 2024)

Generation Constraint Scaling Can Mitigate Hallucination. - Georgios Kollias; Payel Das; Subhajit Chaudhury (CoRR, 2024)

Large Language Models can be Strong Self-Detoxifiers. - Ching-Yun Ko; Pin-Yu Chen; Payel Das; Youssef Mroueh; Soham Dan; Georgios Kollias; Subhajit Chaudhury; Tejaswini Pedapati; Luca Daniel (CoRR, 2024)

Directed Graph Transformers. - Qitong Wang 004; Georgios Kollias; Vasileios Kalantzis; Naoki Abe; Mohammed J. Zaki (Trans. Mach. Learn. Res., 2024)

Multi-Sense Embeddings for Language Models and Knowledge Distillation. - Qitong Wang 004; Mohammed J. Zaki; Georgios Kollias; Vasileios Kalantzis (ACL (Findings), 2025)

EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts. - Subhajit Chaudhury; Payel Das; Sarathkrishna Swaminathan; Georgios Kollias; Elliot Nelson; Khushbu Pahwa; Tejaswini Pedapati; Igor Melnyk; Matthew Riemer (ACL (1), 2025)

Large Language Models can Become Strong Self-Detoxifiers. - Ching-Yun Ko; Pin-Yu Chen; Payel Das; Youssef Mroueh; Soham Dan; Georgios Kollias; Subhajit Chaudhury; Tejaswini Pedapati; Luca Daniel (ICLR, 2025)

Can Memory-Augmented Language Models Generalize on Reasoning-in-a-Haystack Tasks? - Payel Das; Ching-Yun Ko; Sihui Dai; Georgios Kollias; Subhajit Chaudhury; Aurélie C. Lozano (CoRR, 2025)